Data-driven estimation of joint roughness coefficient
Journal of Rock Mechanics and Geotechnical Engineering, 2021 Joint roughness is one of the most important issues in the hydromechanical behavior of rock mass. Therefore, the joint roughness coefficient (JRC) estimation is of paramount importance in geomechanics engineering applications.
Hadi Fathipour-Azar
doaj +4 more sources
Advances in joint roughness coefficient (JRC) and its engineering applications
Journal of Rock Mechanics and Geotechnical Engineering, 2023 The joint roughness coefficient (JRC), introduced in Barton (1973) represented a new method in rock mechanics and rock engineering to deal with problems related to joint roughness and shear strength estimation.
Nick Barton, Changshuo Wang, Rui Yong
doaj +4 more sources
Expression and Analysis of Joint Roughness Coefficient Using Neutrosophic Number Functions [PDF]
Information, 2017 In nature, the mechanical properties of geological bodies are very complex, and its various mechanical parameters are vague, incomplete, imprecise, and indeterminate.
Jun Ye, Jiqian Chen, Rui Yong, Shigui Du
doaj +2 more sources
Effect of joint roughness coefficient and size on shear and characteristic strengths of structural planes [PDF]
PLoS ONE, 2022 Joint roughness coefficients (JRCs) influence the shear and characteristic strengths of structural planes; however, the relationship model of this influence is yet to be derived.
Gaojian Hu +5 more
doaj +2 more sources
Estimating the joint roughness coefficient of discontinuities found in metamorphic rocks [PDF]
Bulletin of Engineering Geology and the Environment, 2008 The paper presents the results of different methods of determining the roughness of joints in quartzites, metagreywackes and phyllites obtained from road cuts in central Portugal.
Andrade, Pedro, Saraiva, António
core +4 more sources
Symbolic Regression for the Determination of Joint Roughness Coefficient
Mathematical and Computational ApplicationsIn this study, a novel symbolic regression-based empirical equation has been developed to compute the joint roughness coefficient (JRC) value based on the statistical parameters of rock joints.
Yuyang Zhao, Hongbo Zhao
doaj +2 more sources
Experimental investigation of the influence of friction, surface roughness and material hardness on the external load factor in threaded joints. [PDF]
PLoS ONEThreaded joints, particularly bolted joints, are critical components in the design and fabrication of mechanical systems due to their high strength and ease of disassembly. Their widespread application spans across structural engineering, transportation,
Van Thuy Tran, Huu Loc Nguyen
doaj +2 more sources
Advances in Civil Engineering, 2019 Joint roughness coefficient (JRC) is a major factor that affects the mechanical properties of rock joints. Statistical methods that are used to calculate the JRC increasingly depend on a sampling interval (Δx). The variation rules of fitting parameters a,
Man Huang +4 more
doaj +2 more sources
Frontiers in Earth ScienceDetermining the joint roughness accurately will better serve the peak shear strength estimation models of rock joints used for stability assessment of rock masses.
Cheng He +4 more
doaj +2 more sources
A Novel Discontinuity Roughness Parameter and Its Correlation with Joint Roughness Coefficients [PDF]
Energies, 2021 Joint roughness determination is a fundamental issue in many areas of rock engineering, because joint roughness has significant influences on mechanical properties and deformation behavior of rock masses. Available models suggested in the literature neglected combined effects of shear direction, scale of rock discontinuities, inclination angle, and ...
Huizhen Zhang +4 more
openaire +2 more sources